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Analyzing Transit User Behavior with 51 Weeks of Smart Card Data
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Analyzing Transit User Behavior with 51 Weeks of Smart Card Data (2019)Analyzing Transit User Behavior with 51 W…Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)Analyzing year-to-year change…Variability in daily activity-travel patterns: the case of a one-week travel diary (2016)Variability in daily activity…Spatiotemporal variation in travel regularity through transit user profiling (2016)Spatiotemporal variation in t…Inferring patterns in the multi-week activity sequences of public transport users (2016)Inferring patterns in the mul…Identifying passenger flow characteristics and evaluating travel time reliability by visualizing AFC data: a case study of Shanghai Metro (2016)Identifying passenger flow ch…Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap (2014)Examining the spatial–tempora…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Smart card data use in public transit: A literature review (2011)Smart card data use in public…Augmenting Transit Trip Characterization and Travel Behavior Comprehension (2010)Augmenting Transit Trip Chara…Measuring transit use variability with smart-card data (2007)Measuring transit use variabi…MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA (2006)MINING PUBLIC TRANSPORT USER …Habitual travel behaviour: Evidence from a six-week travel diary (2003)Habitual travel behaviour: Ev…Activity Pattern Analysis by Means of Sequence-Alignment Methods (1998)Activity Pattern Analysis by …TripChain2RecDeepSurv: A novel framework to predict transit users’ lifecycle behavior status transitions for user management (2024)TripChain2RecDeepSurv: A nove…Evaluation and determinants of metro users' regularity: Insights from transit one-card data (2024)Evaluation and determinants o…An Ensemble of Deep Clustering Models With Autoencoders to Mine Travel Patterns From Smart Card Data (2024)An Ensemble of Deep Clusterin…The potential of Wi-Fi data to estimate bus passenger mobility (2023)The potential of Wi-Fi data t…Examining regularity in vehicular traffic through Bluetooth scanner data: Is the daily commuter the regular road user? (2023)Examining regularity in vehic…Unravelling the spatial properties of individual mobility patterns using longitudinal travel data (2022)Unravelling the spatial prope…Unravelling individual mobility temporal patterns using longitudinal smart card data (2022)Unravelling individual mobili…Cross-analysis of the variability of travel behaviors using one-day trip diaries and longitudinal data (2022)Cross-analysis of the variabi…Systematic Literature Review on Smart Mobility: A Framework for Future “Quantitative” Developments (2021)Systematic Literature Review …Impacts of long-term service disruptions on passenger travel behaviour: A smart card analysis from the Greater Copenhagen area (2021)Impacts of long-term service …Examining public transport usage by older adults with smart card data: A longitudinal study in Japan (2021)Examining public transport us…Big data for big issues: Revealing travel patterns of low-income population based on smart card data mining in a global south unequal city (2021)Big data for big issues: Reve…Variability in individual home-work activity patterns (2020)Variability in individual hom…Investigation of Changes in Passenger Behavior Using Longitudinal Smart Card Data (2020)Investigation of Changes in P…Exploring Travel Pattern Variability of Public Transport Users Through Smart Card Data: Role of Gender and Age (2020)Exploring Travel Pattern Vari…Adjusting Dwell Time for Paratransit Services (2020)Adjusting Dwell Time for Para…WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)THE AUTOMATIC ACTIVATION OF GOAL-DIRECTED BEHAVIOUR: THE CASE OF TRAVEL HABIT (2000)Observing the rhythms of daily life: A six-week travel diary (2002)Spatiotemporal Patterns of Urban Human Mobility (2012)Conceptualization and measurement of environmental exposure in epidemiology: Accounting for activity space related to daily mobility (2013)Understanding urban human activity and mobility patterns using large-scale location-based data from online social media (2013)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Understanding commuting patterns using transit smart card data (2016)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)Property, Privacy, and Personal Data (2004)Travel time variability: A review of theoretical and empirical issues (2002)The digital matatu project: Using cell phones to create an open source data for Nairobi's semi-formal bus system (2015)Big data and understanding change in the context of planning transport systems (2018)Weather and cycling in New York: The case of Citibike (2019)Sequential Analysis (1990)Sequence Analysis: New Methods for Old Ideas (1995)Activity pattern similarity: a multidimensional sequence alignment method (2002)Narrative Explanation: An Alternative to Variable-Centered Explanation? (2004)Detection of Activities of Public Transport Users by Analyzing Smart Card Data (2012)Introduction: Habitual travel choice (2003)The potential of public transport smart card data (2005)Passenger Segmentation Using Smart Card Data (2014)Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies (2014)BIOGEME: a free package for the estimation of discrete choice models (2003)Validating and improving public transport origin–destination estimation algorithm using smart card fare data (2016)Public transport trip purpose inference using smart card fare data (2018)A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area (1997)Understanding individual human mobility patterns (2008)Investigating day-to-day variability of transit usage on a multimonth scale with smart card data. A case study in Lyon (2020)Evaluating the performance of transit-oriented development in Beijing metro station areas: Integrating morphology and demand into the node-place model (2022)Identifying human mobility patterns using smart card data (2023)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Research on the influence of after-sales service quality factors on customer satisfaction (2020)Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)Big data in public transportation: a review of sources and methods (2019)
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References

  • 2011Smart card data use in public transit: A literature review930 cited
  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2003Habitual travel behaviour: Evidence from a six-week travel diary375 cited
  • 2007Measuring transit use variability with smart-card data271 cited
  • 2006MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA199 cited
  • 2016Inferring patterns in the multi-week activity sequences of public transport users197 cited
  • 2017Analyzing year-to-year changes in public transport passenger behaviour using smart card data182 cited
  • 1998Activity Pattern Analysis by Means of Sequence-Alignment Methods168 cited
  • 2014Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap146 cited
  • 2016Spatiotemporal variation in travel regularity through transit user profiling82 cited
  • 2016Variability in daily activity-travel patterns: the case of a one-week travel diary78 cited
  • 2010Augmenting Transit Trip Characterization and Travel Behavior Comprehension78 cited
  • 2016Identifying passenger flow characteristics and evaluating travel time reliability by visualizing AFC data: a case study of Shanghai Metro61 cited

Cited by

  • 2021Examining public transport usage by older adults with smart card data: A longitudinal study in Japan

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45 cited
  • 2021Impacts of long-term service disruptions on passenger travel behaviour: A smart card analysis from the Greater Copenhagen area44 cited
  • 2021Big data for big issues: Revealing travel patterns of low-income population based on smart card data mining in a global south unequal city40 cited
  • 2020Exploring Travel Pattern Variability of Public Transport Users Through Smart Card Data: Role of Gender and Age35 cited
  • 2021Systematic Literature Review on Smart Mobility: A Framework for Future “Quantitative” Developments28 cited
  • 2022Unravelling individual mobility temporal patterns using longitudinal smart card data28 cited
  • 2022Cross-analysis of the variability of travel behaviors using one-day trip diaries and longitudinal data21 cited
  • 2024TripChain2RecDeepSurv: A novel framework to predict transit users’ lifecycle behavior status transitions for user management19 cited
  • 2022Unravelling the spatial properties of individual mobility patterns using longitudinal travel data15 cited
  • 2023The potential of Wi-Fi data to estimate bus passenger mobility15 cited
  • 2020Investigation of Changes in Passenger Behavior Using Longitudinal Smart Card Data13 cited
  • 2023Examining regularity in vehicular traffic through Bluetooth scanner data: Is the daily commuter the regular road user?12 cited
  • 2020Variability in individual home-work activity patterns12 cited
  • 2024Evaluation and determinants of metro users' regularity: Insights from transit one-card data10 cited
  • 2024An Ensemble of Deep Clustering Models With Autoencoders to Mine Travel Patterns From Smart Card Data10 cited
  • 2020Adjusting Dwell Time for Paratransit Services10 cited